If True, validation for finiteness will be skipped,
saving time, but leading to potential crashes. If
False, validation for finiteness will be performed,
avoiding error. Global default: False.

working_memory:int, optional

If set, scikit-learn will attempt to limit the size of temporary arrays
to this number of MiB (per job when parallelised), often saving both
computation time and memory on expensive operations that can be
performed in chunks. Global default: 1024.

Notes

All settings, not just those presently modified, will be returned to
their previous values when the context manager is exited. This is not
thread-safe.